Science Discussion Started: 22 October 2018 C Author(S) 2018

Total Page:16

File Type:pdf, Size:1020Kb

Science Discussion Started: 22 October 2018 C Author(S) 2018 Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 Field Investigations of Coastal Sea Surface Temperature Drop 2 after Typhoon Passages 3 Dong-Jiing Doong [1]* Jen-Ping Peng [2] Alexander V. Babanin [3] 4 [1] Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 5 Taiwan 6 [2] Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany 7 [3] Department of Infrastructure Engineering, Melbourne School of Engineering, University of 8 Melbourne, Australia 9 ---- 10 *Corresponding author: 11 Dong-Jiing Doong 12 Email: [email protected] 13 Tel: +886 6 2757575 ext 63253 14 Add: 1, University Rd., Tainan 70101, Taiwan 15 Department of Hydraulic and Ocean Engineering, National Cheng Kung University 16 -1 Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 Abstract 2 Sea surface temperature (SST) variability affects marine ecosystems, fisheries, ocean primary 3 productivity, and human activities and is the primary influence on typhoon intensity. SST drops 4 of a few degrees in the open ocean after typhoon passages have been widely documented; 5 however, few studies have focused on coastal SST variability. The purpose of this study is to 6 determine typhoon-induced SST drops in the near-coastal area (within 1 km of the coast) and 7 understand the possible mechanism. The results of this study were based on extensive field data 8 analysis. Significant SST drop phenomena were observed at the Longdong buoy in northeastern 9 Taiwan during 43 typhoons over the past 20 years (1998~2017). The mean SST drop (∆SST) 10 after a typhoon passage was 6.1 °C, and the maximum drop was 12.5 °C (Typhoon Fungwong 11 in 2008). The magnitude of SST drop was larger than most of the observations in the open ocean. 12 The mean duration of SST drop was 24 hours, and on average, 26.1 hours were required for the 13 SST to recover to the original temperature. The coastal SST drops at Longdong were correlated 14 with the moving tracks of typhoons. When a typhoon passes south of Longdong, the strong and 15 persistent longshore winds induce coastal upwelling and pump cold water up to the surface, 16 which is the dominant cause of SST drops along the coast. In this study, it was determined that 17 cold water mainly intruded from the Kuroshio subsurface in the Okinawa Trough, which is 18 approximately 50 km from the observation site. The magnitude of coastal SST drops depends 19 on the area of overlap between typhoons generating strong winds and the Kuroshio. The dataset 20 used in this study can be accessed by https://doi.pangaea.de/10.1594/PANGAEA.895002. 21 Keywords: Coastal SST drop, Typhoon, Upwelling, Kuroshio, Data buoy 22 23 1. Introduction 24 Similar to the Earth’s atmosphere, sea surface temperature (SST) changes diurnally, but the 25 range is small. Significant SST drops (ΔSST) after typhoon (hurricane) passages have been -2- Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 widely known and reported in the world’s oceans, including the Northwest Pacific (Sakaida et 2 al., 1998; Tsai et al., 2008a, 2008b, 2013; Chen et al., 2003; Wada et al., 2005, 2009; Chang et 3 al., 2008; Wu et al., 2008; Morimoto et al., 2009; Hung et al., 2010; Kuo et al., 2011; Sun et al., 4 2015; Subrahmanyam, 2015), Northeast Pacific (Bingham, 2007), India Ocean (Rao et al., 2004; 5 Gopalakrishna et al., 1993), and South China Sea (Shang et al., 2008; Jiang et al., 2009; Tseng 6 et al., 2010; Chiang et al., 2011). SST drops are larger in scale following a typhoon passage 7 than under regular temperature variability and may affect marine ecosystems and the primary 8 productivity of the ocean (Lin et al., 2003b; Siswanto et al., 2007). Cold water increases 9 nutrients for marine life. Several studies (Babin et al., 2004; Hanshaw et al., 2008; Liu et al., 10 2009; Kawai and Wada, 2011, Cheung et al., 2013; Xu et al., 2017) have reported that 11 chlorophyll-a increases when SST drops after the passages of tropical cyclones. In contrast, fish 12 species that cannot tolerate cold may die if the water temperature drops dramatically over a 13 short period of time. In addition, the water temperature has a major impact on human comfort 14 and safety during swimming, surfing, and snorkeling activities. 15 Upwelling and entrainment (vertical mixing) have been identified as the main causes of sea 16 surface water temperature cooling after a typhoon passage (Price, 1981; Rao et al., 2004; 17 Narayan et al., 2010; Shen et al., 2011; Chen et al., 2012). The maximum SST drop caused by 18 typhoons rarely exceeds 6 °C (Wentz et al., 2000). Price (1981) presented SST drops of 3 °C 19 and 1 °C in US waters during Hurricane Eloise in 1975 and Hurricane Belle in 1976, 20 respectively. He noted that the SST decrease beneath a moving hurricane was mainly caused by 21 entrainment and that the heat changes in the air and sea play minor roles. Stronger wind stress 22 and the associated curl surface wind trigger more substantial ocean mixing and induce the 23 mixing of sea surface water with colder and deeper waters. Wada et al. (2009) studied the role 24 of vertical turbulent mixing (VTM) in sea surface cooling during typhoon Rex in 1998 in the 25 Northwestern Pacific Ocean near Japan, during which the SST dropped by nearly 3 °C. They -3- Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 concluded that sea surface cooling was caused by shear-induced VTM during the fast-moving 2 phase of the typhoon; in contrast, sea surface cooling was caused by Ekman pumping during 3 the slow phase of the typhoon. Notably, unless the waters are very shallow, the wind-mixing 4 mechanism usually occurs through the action of wind-generated waves. Such wave-induced 5 mixing has been studied in tropical cyclone conditions (Ghantous and Babanin, 2014) and 6 through measurements obtained during tropical cyclones (Toffoli et al., 2012), and this mixing 7 was shown to cool the surface on a scale of a few hours of cyclone forcing. Turbulence plays 8 an important role in the heat, momentum, and energy balances of the ocean. Huang et al. (2012) 9 measured the upper ocean turbulence dissipation associated with wave-turbulence interactions 10 in the South China Sea. Their results contribute to understanding the SST drop induced by wave 11 mixing. 12 The South China Sea (SCS) is one of the largest semienclosed marginal seas subject to frequent 13 typhoons. Chiang et al. (2011) reported that the average SST cooling in the northern SCS during 14 typhoon passage was approximately 4.3 ± 2 °C in 1958~2008. Tseng et al. (2010) and Lin et al. 15 (2003) observed an SST drop of more than 9 °C in the northern SCS during Typhoon Kaitak in 16 2000. They concluded that this drastic SST drop could mainly be ascribed to continual wind- 17 forced upwelling, a preexisting, relatively shallow thermocline, local bathymetry, and a slow 18 propagation speed of typhoons. Furthermore, Chiang et al. (2011) estimated that the upwelling 19 contribution to SST drop is twice that of entrainment for the case of Typhoon Kaitak in 2000. 20 A larger SST drop in the central SCS was observed by Shang et al. (2008) during Typhoon 21 Lingling in 2001. Prior to Typhoon Lingling, the SST was approximately 27~30 °C; however, 22 the SST was reduced by 11 °C after the typhoon passed. This extreme SST drop was mainly 23 attributed to preexisting eddies that were driven by the northeast monsoon. Zheng et al. (2010) 24 also considered that preexisting eddy is a favored condition for intensive cooling after typhoon 25 passage. -4- Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 SST drops also frequently occur in the waters off northeastern Taiwan. Kuroshio flows through 2 this region, which is the most important current that transports warm water from the tropical 3 ocean. The SST drop off northeastern Taiwan mainly occurs during the winter monsoon rather 4 than the summer season (Tsai et al., 2008a; Jan et al., 2013). Bathymetry-induced upwelling, 5 rather than entrainment mixing, is considered to be the primary cause of SST drops in this region 6 (Tsai et al., 2008). The numerical modeling results of Tsai et al. (2008b; 2013) suggest that the 7 Taiwan Strait outflow is blocked by northerly winds, facilitating Kuroshio intrusion and thus 8 leading to SST drops during the first half of a typhoon passage.
Recommended publications
  • Field Investigations of Coastal Sea Surface Temperature Drop
    1 Field Investigations of Coastal Sea Surface Temperature Drop 2 after Typhoon Passages 3 Dong-Jiing Doong [1]* Jen-Ping Peng [2] Alexander V. Babanin [3] 4 [1] Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 5 Taiwan 6 [2] Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany 7 [3] Department of Infrastructure Engineering, Melbourne School of Engineering, University of 8 Melbourne, Australia 9 ---- 10 *Corresponding author: 11 Dong-Jiing Doong 12 Email: [email protected] 13 Tel: +886 6 2757575 ext 63253 14 Add: 1, University Rd., Tainan 70101, Taiwan 15 Department of Hydraulic and Ocean Engineering, National Cheng Kung University 16 -1- 1 Abstract 2 Sea surface temperature (SST) variability affects marine ecosystems, fisheries, ocean primary 3 productivity, and human activities and is the primary influence on typhoon intensity. SST drops 4 of a few degrees in the open ocean after typhoon passages have been widely documented; 5 however, few studies have focused on coastal SST variability. The purpose of this study is to 6 determine typhoon-induced SST drops in the near-coastal area (within 1 km of the coast) and 7 understand the possible mechanism. The results of this study were based on extensive field data 8 analysis. Significant SST drop phenomena were observed at the Longdong buoy in northeastern 9 Taiwan during 43 typhoons over the past 20 years (1998~2017). The mean SST drop (∆SST) 10 after a typhoon passage was 6.1 °C, and the maximum drop was 12.5 °C (Typhoon Fungwong 11 in 2008).
    [Show full text]
  • Wang, M., M. Xue, and K. Zhao (2016), September 2008
    PUBLICATIONS Journal of Geophysical Research: Atmospheres RESEARCH ARTICLE The impact of T-TREC-retrieved wind and radial 10.1002/2015JD024001 velocity data assimilation using EnKF Key Points: and effects of assimilation window • T-TREC-retrieved wind and radial velocity data are assimilated using an on the analysis and prediction ensemble Kalman filter • The relative impacts of two data sets of Typhoon Jangmi (2008) on analysis and prediction changes with assimilation windows Mingjun Wang1,2, Ming Xue1,2,3, and Kun Zhao1 • The combination of retrieved wind and radial velocity produces better 1Key Laboratory for Mesoscale Severe Weather/MOE and School of Atmospheric Science, Nanjing University, Nanjing, analyses and forecasts China, 2Center for Analysis and Prediction of Storms, Norman, Oklahoma, USA, 3School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA Correspondence to: M. Xue, Abstract This study examines the relative impact of assimilating T-TREC-retrieved winds (VTREC)versusradial [email protected] velocity (Vr) on the analysis and forecast of Typhoon Jangmi (2008) using an ensemble Kalman filter (EnKF). The VTREC and Vr data at 30 min intervals are assimilated into the ARPS model at 3 km grid spacing over four different Citation: assimilation windows that cover, respectively, 0000–0200, 0200–0400, 0400–0600, and 0000–0600 UTC, 28 Wang, M., M. Xue, and K. Zhao (2016), September 2008. The assimilation of VTREC data produces better analyses of the typhoon structure and intensity The impact of T-TREC-retrieved wind and radial velocity data assimilation than the assimilation of Vr data during the earlier assimilation windows, but during the later assimilation using EnKF and effects of assimilation windows when the coverage of Vr data on the typhoon from four Doppler radars is much improved, the window on the analysis and prediction assimilation of V outperforms V data.
    [Show full text]
  • The Influence of Assimilating Dropsonde Data on Typhoon Track
    908 MONTHLY WEATHER REVIEW VOLUME 139 The Influence of Assimilating Dropsonde Data on Typhoon Track and Midlatitude Forecasts MARTIN WEISSMANN,* FLORIAN HARNISCH,* CHUN-CHIEH WU,1 PO-HSIUNG LIN,1 YOICHIRO OHTA,# KOJI YAMASHITA,# YEON-HEE KIM,@ EUN-HEE JEON,@ TETSUO NAKAZAWA,& AND SIM ABERSON** * Deutsches Zentrum fu¨r Luft- und Raumfahrt, Institut fu¨r Physik der Atmospha¨re, Oberpfaffenhofen, Germany 1 Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan # Japan Meteorological Agency, Tokyo, Japan @ National Institute of Meteorological Research, Korea Meteorological Agency, Seoul, South Korea & Meteorological Research Institute, Tsukuba, Japan ** NOAA/AOML/Hurricane Research Division, Miami, Florida (Manuscript received 9 February 2010, in final form 21 April 2010) ABSTRACT A unique dataset of targeted dropsonde observations was collected during The Observing System Re- search and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign (T-PARC) in the autumn of 2008. The campaign was supplemented by an enhancement of the operational Dropsonde Ob- servations for Typhoon Surveillance near the Taiwan Region (DOTSTAR) program. For the first time, up to four different aircraft were available for typhoon observations and over 1500 additional soundings were collected. This study investigates the influence of assimilating additional observations during the two major typhoon events of T-PARC on the typhoon track forecast by the global models of the European Centre for Medium- Range Weather Forecasts (ECMWF), the Japan Meteorological Agency (JMA), the National Centers for Environmental Prediction (NCEP), and the limited-area Weather Research and Forecasting (WRF) model. Additionally, the influence of T-PARC observations on ECMWF midlatitude forecasts is investigated. All models show an improving tendency of typhoon track forecasts, but the degree of improvement varied from about 20% to 40% in NCEP and WRF to a comparably low influence in ECMWF and JMA.
    [Show full text]
  • Recent Advances in Research on Tropical Cyclogenesis
    Available online at www.sciencedirect.com ScienceDirect Tropical Cyclone Research and Review 9 (2020) 87e105 www.keaipublishing.com/tcrr Recent advances in research on tropical cyclogenesis Brian H. Tang a,*, Juan Fang b, Alicia Bentley a,y, Gerard Kilroy c, Masuo Nakano d, Myung-Sook Park e, V.P.M. Rajasree f, Zhuo Wang g, Allison A. Wing h, Liguang Wu i a University at Albany, State University of New York, Albany, USA b Nanjing University, Nanjing, China c Ludwig-Maximilians University of Munich, Munich, Germany d Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan e Korea Institute of Ocean Science and Technology, Busan, South Korea f Centre for Atmospheric and Climate Physics Research, University of Hertfordshire, Hatfield, UK g University of Illinois, Urbana, USA h Florida State University, Tallahassee, USA i Fudan University, Shanghai, China Available online 7 May 2020 Abstract This review article summarizes recent (2014e2019) advances in our understanding of tropical cyclogenesis, stemming from activities at the ninth International Workshop on Tropical Cyclones. Tropical cyclogenesis involves the interaction of dynamic and thermodynamic processes at multiple spatio-temporal scales. Studies have furthered our understanding of how tropical cyclogenesis may be affected by external processes, such as intraseasonal oscillations, monsoon circulations, the intertropical convergence zone, and midlatitude troughs and cutoff lows. Addi- tionally, studies have furthered our understanding of how tropical cyclogenesis may be affected by internal processes, such as the organization of deep convection; the evolution of the “pouch” structure; the role of friction; the development of the moist, warm core; the importance of surface fluxes; and the role of the mid-level vortex.
    [Show full text]
  • A Vortex Relocation Scheme for Tropical Cyclone Initialization in Advanced Research WRF
    3298 MONTHLY WEATHER REVIEW VOLUME 138 A Vortex Relocation Scheme for Tropical Cyclone Initialization in Advanced Research WRF LING-FENG HSIAO Central Weather Bureau, and Taiwan Typhoon and Flood Research Institute, Taipei, Taiwan CHI-SANN LIOU Naval Research Laboratory, Monterey, California TIEN-CHIANG YEH Central Weather Bureau, Taipei, Taiwan YONG-RUN GUO National Center for Atmospheric Research, Boulder, Colorado DER-SONG CHEN,KANG-NING HUANG,CHUEN-TEYR TERNG, AND JEN-HER CHEN Central Weather Bureau, Taipei, Taiwan (Manuscript received 6 November 2009, in final form 23 February 2010) ABSTRACT This paper introduces a relocation scheme for tropical cyclone (TC) initialization in the Advanced Research Weather Research and Forecasting (ARW-WRF) model and demonstrates its application to 70 forecasts of Ty- phoons Sinlaku (2008), Jangmi (2008), and Linfa (2009) for which Taiwan’s Central Weather Bureau (CWB) issued typhoon warnings. An efficient and dynamically consistent TC vortex relocation scheme for the WRF terrain- following mass coordinate has been developed to improve the first guess of the TC analysis, and hence improves the tropical cyclone initialization. The vortex relocation scheme separates the first-guess atmospheric flow into a TC circulation and environmental flow, relocates the TC circulation to its observed location, and adds the relocated TC circulation back to the environmental flow to obtain the updated first guess with a correct TC position. Analysis of these typhoon cases indicates that the relocation procedure moves the typhoon circulation to the observed typhoon position without generating discontinuities or sharp gradients in the first guess. Numerical experiments with and without the vortex relocation procedure for Typhoons Sinlaku, Jangmi, and Linfa forecasts show that about 67% of the first-guess fields need a vortex relocation to correct typhoon position errors while eliminates the topographical effect.
    [Show full text]
  • Phase Concept for Mudflow Based on the Influence of Viscosity
    Soils and Foundations 2013;53(1):77–90 The Japanese Geotechnical Society Soils and Foundations www.sciencedirect.com journal homepage: www.elsevier.com/locate/sandf Phase concept for mudflow based on the influence of viscosity Shannon Hsien-Heng Leen, Budijanto Widjaja1 National Taiwan University of Science and Technology, Department of Construction Engineering, No. 43 Keelung Road, Section 4, Taipei 106, Taiwan Received 22 November 2011; received in revised form 4 July 2012; accepted 1 September 2012 Available online 26 January 2013 Abstract The phase concept implies that the state of soil changes from plastic to viscous liquid as a function of water content. This principle could be used to interpret the behavior of mudflows, the most dangerous mass movements today. When Typhoon Jangmi hit northern Taiwan in 2008, a mudflow occurred in the Maokong area as a result of the high-intensity rainfall. This case was studied using three simulations, each with a different water content. Based on the mudflow classifications, the primary criteria used in this study were flow velocity and solid concentration by volume, while the major rheology parameters directly obtained from our new laboratory device, the flow box test, were yield stress and viscosity. The results show that the mass movement confirmed the aforementioned criteria for mudflow when the water content reaches or exceeds the liquid limit. The flow box test can determine the viscosity for both plastic and viscous liquid states, which is advantageous. Viscosity is important for explaining the general characteristics of mudflow movement because it controls flow velocity. Therefore, the present study successfully elucidates the changes in mudflow from its initiation to its transportation and deposition via a numerical simulation using laboratory rheology parameters.
    [Show full text]
  • Tropical Cyclogenesis Associated with Rossby Wave Energy Dispersion of a Preexisting Typhoon
    VOLUME 63 JOURNAL OF THE ATMOSPHERIC SCIENCES MAY 2006 Tropical Cyclogenesis Associated with Rossby Wave Energy Dispersion of a Preexisting Typhoon. Part I: Satellite Data Analyses* TIM LI AND BING FU Department of Meteorology, and International Pacific Research Center, University of Hawaii at Manoa, Honolulu, Hawaii (Manuscript submitted 20 September 2004, in final form 7 June 2005) ABSTRACT The structure and evolution characteristics of Rossby wave trains induced by tropical cyclone (TC) energy dispersion are revealed based on the Quick Scatterometer (QuikSCAT) and Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) data. Among 34 cyclogenesis cases analyzed in the western North Pacific during 2000–01 typhoon seasons, six cases are associated with the Rossby wave energy dispersion of a preexisting TC. The wave trains are oriented in a northwest–southeast direction, with alternating cyclonic and anticyclonic vorticity circulation. A typical wavelength of the wave train is about 2500 km. The TC genesis is observed in the cyclonic circulation region of the wave train, possibly through a scale contraction process. The satellite data analyses reveal that not all TCs have a Rossby wave train in their wakes. The occur- rence of the Rossby wave train depends to a certain extent on the TC intensity and the background flow. Whether or not a Rossby wave train can finally lead to cyclogenesis depends on large-scale dynamic and thermodynamic conditions related to both the change of the seasonal mean state and the phase of the tropical intraseasonal oscillation. Stronger low-level convergence and cyclonic vorticity, weaker vertical shear, and greater midtropospheric moisture are among the favorable large-scale conditions.
    [Show full text]
  • The Impact of Dropwindsonde Observations on Typhoon Track Forecasts in DOTSTAR and T-PARC
    1728 MONTHLY WEATHER REVIEW VOLUME 139 The Impact of Dropwindsonde Observations on Typhoon Track Forecasts in DOTSTAR and T-PARC KUN-HSUAN CHOU Department of Atmospheric Sciences, Chinese Culture University, Taipei, Taiwan CHUN-CHIEH WU AND PO-HSIUNG LIN Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan SIM D. ABERSON Hurricane Research Division, NOAA/AOML, Miami, Florida MARTIN WEISSMANN AND FLORIAN HARNISCH Deutsches Zentrum fu¨r Luft- und Raumfahrt (DLR), Institut fu¨r Physik der Atmospha¨re, Oberpfaffenhofen, Germany TETSUO NAKAZAWA Meteorological Research Institute, JMA, Tsukuba, Japan (Manuscript received 3 August 2010, in final form 1 November 2010) ABSTRACT The typhoon surveillance program Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR) has been conducted since 2003 to obtain dropwindsonde observations around tropical cyclones near Taiwan. In addition, an international field project The Observing System Research and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign (T-PARC) in which dropwindsonde observations were obtained by both surveillance and reconnaissance flights was conducted in summer 2008 in the same region. In this study, the impact of the dropwindsonde data on track forecasts is investigated for DOTSTAR (2003–09) and T-PARC (2008) experi- ments. Two operational global models from NCEP and ECMWF are used to evaluate the impact of dropwindsonde data. In addition, the impact on the two-model mean is assessed. The impact of dropwindsonde data on track forecasts is different in the NCEP and ECMWF model systems. Using the NCEP system, the assimilation of dropwindsonde data leads to improvements in 1- to 5-day track forecasts in about 60% of the cases.
    [Show full text]
  • A 65-Yr Climatology of Unusual Tracks of Tropical Cyclones in the Vicinity of China’S Coastal Waters During 1949–2013
    JANUARY 2018 Z H A N G E T A L . 155 A 65-yr Climatology of Unusual Tracks of Tropical Cyclones in the Vicinity of China’s Coastal Waters during 1949–2013 a XUERONG ZHANG Key Laboratory of Meteorological Disaster, Ministry of Education, and International Joint Laboratory on Climate and Environment Change, and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, and Pacific Typhoon Research Center, Nanjing University of Information Science and Technology, Nanjing, and State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland YING LI AND DA-LIN ZHANG State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland LIANSHOU CHEN State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China (Manuscript received 8 December 2016, in final form 16 October 2017) ABSTRACT Despite steady improvements in tropical cyclone (TC) track forecasts, it still remains challenging to predict unusual TC tracks (UNTKs), such as the tracks of sharp turning or looping TCs, especially after they move close to coastal waters. In this study 1059 UNTK events associated with 564 TCs are identified from a total of 1320 TCs, occurring in the vicinity of China’s coastal waters, during the 65-yr period of 1949–2013, using the best-track data archived at the China Meteorological Administration’s Shanghai Typhoon Institute. These UNTK events are then categorized into seven types of tracks—sharp westward turning (169), sharp eastward turning (86), sharp northward turning (223), sharp southward turning (46), looping (153), rotating (199), and zigzagging (183)—on the basis of an improved UNTK classification scheme.
    [Show full text]
  • Dynamics of Atmospheres and Oceans Upper Ocean Response Of
    Dynamics of Atmospheres and Oceans 47 (2009) 165–175 Contents lists available at ScienceDirect Dynamics of Atmospheres and Oceans journal homepage: www.elsevier.com/locate/dynatmoce Upper ocean response of the South China Sea to Typhoon Krovanh (2003) Jiang Xiaoping a, Zhong Zhong a,b,∗, Jiang Jing b a Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, China b Department of Atmospheric Sciences, Nanjing University, Nanjing 210093, China article info abstract Article history: To quantitatively investigate the dynamic and thermal responses of Available online 22 October 2008 the South China Sea (SCS) during and subsequent to the passage of a real typhoon, a three-dimensional, regional coupled air–sea model is developed to study the upper ocean response of the Keywords: SCS to Typhoon Krovanh (2003). Owing to the scarcity of ocean Coupled model observations, the three-dimensional numerical modeling with high South China Sea resolution, as a powerful tool, offers a valuable opportunity to Typhoon investigate how the air–sea process proceeds under such extreme Response conditions. The amplitude and distribution of the cold path pro- duced by the coupled model compare reasonably well with the TRMM/TMI-derived data. The maximum SST cooling is 5.3 ◦C, about 80 km to the right of the typhoon track, which is consistent with the well-documented rightward bias in the SST response to typhoons. In correspondence to the SST cooling, the mixed layer depth exhibits an increase; the increases in the mixed layer depth on the right of typhoon track are significantly higher than those on the left, with maxima of 58 m.
    [Show full text]
  • A Forecasting Approach of Tropical Cyclone Genesis Based on Thresholds of Multi-Physical Parameters and Its Verification Using ECMWF Model Data
    MAUSAM, 71, 4 (October 2020), 649-660 551.515.2 : 551.509.32 A forecasting approach of tropical cyclone genesis based on thresholds of multi-physical parameters and its verification using ECMWF model data WEN FENG#, *, LI ZHU**, WAIKIN WONG***, CHUNWING CHOY*** and JUNFENG MIAO# #College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210 044, China *Hainan Meteorological Observatory, Haikou 510203, China **Taizhou Meteorological Observatory, Taizhou 225300, China ***Hong Kong Observatory, Hong Kong 99907, China (Received 31 January 2020, Accepted 15 September 2020) e mail : [email protected] सार — हालांिक काफी अययन ने सािबत िकया है िक उणकिटबंधीय चक्रवात (टीसी) के माग र् और तीता का पूवार्नमानु संख्यामक मौसम पूवार्नुमान (NWP) मॉडल से प्रा जानकारी पर बहुत अिधक िनभरर् करता है, कु छ शोध से पता चला है िक पिमी उरी प्रशांत महासागर (WNP) बेिसन म NWP मॉडल उणकिटबंधीय चक्रवात की उपि का िकतना अछा पूवार्नमानु लगाते ह। NWP मॉडल द्वारा WNP बेिसन म उणकिटबंधीय चक्रवात उपि पूवार्नमानु की िवशेषताओं को समझन े के िलए, यह अययन ऐितहािसक आंकड़ े का उपयोग करते हुए उणकिटबंधीय चक्रवात के बनने की पहचान हेतु मापदंड का एक सेट प्रा करता है तथा 2013 और 2015 के बीच ECMWF मॉडल आंकड़ े के आधार पर इसे सयािपत करता है - पिरणाम बताते ह िक प्रभाव सीमा मानदंड के आधार पर अपनाए गए प्रितशतता मूय का एगोिरदम के प्रदशनर् पर महवपूण र् प्रभाव पड़ता है। एक िविश अंतराल पर प्रभाव सीमा का उिचत समायोजन प्रभावी प से टीसी की उपि के पूवार्नुमान को बेहतर बना सकता है। उदाहरण के िलए, WNP बेिसन म पूवार्नमानु पिरणाम 850 hPa तर पर सापेिक्षक भ्रिमलता छोटे
    [Show full text]
  • Interactive Comment on “Comparison and Validation of Global and Regional Ocean Forecasting Systems in the South China Sea” by X
    Nat. Hazards Earth Syst. Sci. Discuss., doi:10.5194/nhess-2016-60-RC1, 2016 © Author(s) 2016. CC-BY 3.0 License. Interactive comment on “Comparison and validation of global and regional ocean forecasting systems in the South China Sea” by X. Zhu et al. L. Lusito (Referee) [email protected] Received and published: 31 March 2016 1. General comments First of all, I would like to congratulate all the authors for the good scientific level of thework presented in this paper.This paper addresses the relevant problem of comparison and validation with real observations of two ocean models (SCSOFS and MO) in the South China Sea, an area which is becoming more and more strategic. Ocean models, in general, are the key to improve our knowledge of the sea state, present and future, on which to base political, environmental, economical decisions by governments and other stakeholders. In this respect, this issues are relevant not only to the general themes addressed by this journal, but also they are especially relevant in the context of this special issue subject ’Situational sea awareness technologies for maritime safety and marine environment protection’. The results described here can be considered innovative; in fact, even if the South China Sea Ocean Forecasting System for the regional modelling of the south China Sea, and the global Ocean model, developed by Mercator Ocean, have been described in previous works, their comparison and validation with real observations in the South China Sea is a new important result that will allow a substantial improvements of the ocean forecasting capability in the area.
    [Show full text]